Functional and Structural Brain Age Gaps as Complementary Predictive Markers for Cognitive Performance

Code implemented for the paper by Crocetta, A., Morandini, M., Bittner, N., Caspers, S., Cauda, F., Brovelli, A. & Gilson, M. (2026). Functional and Structural Brain Age Gaps as Complementary Predictive Markers for Cognitive Performance. bioRxiv preprint: https://www.biorxiv.org/content/10.64898/2026.10.20.760445v1

Contents

• source
  • bag_pipeline.py: functions for predicting age from input features with cross-validation.
• notebooks
  • BAG.ipynb: create example data and implement brain age prediction with BAG and AgeML pipelines.
• data
  • example_data.csv: synthetic data randomly generated used as example for the age predictions.
• results
  • ageml: folder containing age predictions form the AgeML toolbox for the example data.
  • bag: folder containing age predictions from BAG pipeline for the example data.